Papers by Defeng Xie

1 papers
MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval (2024.findings-naacl)

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Challenge: Large-scale visual-language pretraining models have shown remarkable capabilities in understanding both vision and language.
Approach: They propose a multi-teacher cross-modality alignment distillation technique to integrate the advantages of single-stream and dual-stream models.
Outcome: The proposed model is lightweight and has only 100M running memory and 8.0ms search latency.

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